What’s New on the Website
02.17.26
Press coverage
20 Marketing Challenges Leaders Are Facing This Year—And How To Solve Them
01.16.26
New Episode of the Knowledge Forum!
- DivePort: Controlling First-Load Behavior with Defaults
- Squashing vs. Diving: Comparing Spectre Flow and Spectre Dive
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New Episode of the Knowledge Forum!
- DivePort Page Types
- Crosstab: Brand Analysis in NAVO
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Press release
Dimensional Insight named a Strong Performer in the 2025 Voice of the Customer for Analytics and BI
Distinction in Gartner Report Is Based on Feedback and Ratings from End-User Professionals
Press release
Dimensional Insight Recognized in KLAS 2025 Consistent High Performers Report
Recognition underscores Dimensional Insight’s long-term commitment to trusted partnerships, measurable outcomes, and customer satisfaction in healthcare analytics
12.05.24
New Episode of the Knowledge Forum!
- Using Program Advisor
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12.01.25
Press coverage
Leveraging Advanced Analytics and AI Tools to Derive Actionable Insights from Complex Healthcare Datasets
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How Healthcare Organizations Use Analytics to Improve Outcomes
Every healthcare organization faces the same challenge: how to deliver better outcomes with limited time, staff, and resources. The answer increasingly lies in analytics — not just as a reporting tool, but as a foundation for more informed, efficient, and coordinated care.
From reducing readmissions to preventing infections to improving financial sustainability, healthcare organizations across the country are using analytics to turn complex data into action. Here’s how leading hospitals and health systems are doing it — and what others can learn from their success.
Stranger Data: Navigating the “Upside Down” of Analytics
Organizations today operate in increasingly complex data environments. Systems multiply, spreadsheets proliferate, and teams create their own versions of key metrics. The result isn’t just confusion — it’s the emergence of a parallel reality: a version of your data that looks familiar on the surface but behaves differently underneath.